Invention Grant
- Patent Title: Machine learning for personalized, user-based next active time prediction
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Application No.: US16878541Application Date: 2020-05-19
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Publication No.: US11218558B2Publication Date: 2022-01-04
- Inventor: Alexander Wilson , Tom Neckermann , Romain Rey
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: NovoTechIP International PLLC
- Main IPC: H04L29/08
- IPC: H04L29/08 ; G06Q10/10 ; G06N20/00 ; H04L12/58

Abstract:
Techniques performed by a data processing system for predicting availability of a user include receiving, from a first computing device over a network connection, a first request for predicted availability of a first user to participate in an online communication session, wherein the first request includes an identifier associated with the first user and a time period for the predicted availability of the user, in response to receiving the first request, determining a first predicted availability of the first user over the predicted time period using a first machine learning model trained with user information from a plurality of data sources, the user information being indicative of when the user is likely to be available to participate in the online communication session, and sending, to the first computing device over the network connection, availability information including the first predicted availability of the first user.
Public/Granted literature
- US20210368015A1 Machine Learning for Personalized, User-Based Next Active Time Prediction Public/Granted day:2021-11-25
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